I could offer an interface:--On Wed, Aug 7, 2013 at 10:00 AM, Mingli Yuan <mingli.yuan@gmail.com> wrote:Thanks, Markus,About the background:One is related with my current work and I can not say it too much. But another story, I can say it publicly.
After playing with wikidata for a while, I realised that we have the potential to create a WolframAlpha-like application. To achieve this, what we need are only a indexer, a generator, a reasoner and a traversor.Take a look at simplenlg ( https://code.google.com/p/simplenlg/ ), it can take claim triples and transform them into sentences of questions. We then index these the answer by question sentences, the answer could be provided by wikidata claims.And then we get a QA engine with weak abilities. i.e.* they only know who are Enistein's father and children, and do not know that grandfather is the father's father.* they only know which planets belong to the Sun system, and they do not know which is the biggest, the farest, etc.So if we add some axiom into the system and also with a reasoner and a traversor. We have the potential to enumerate all possible *simple* questions and answers of human knowledge. Then we get a QA engine with strong abilities.These are what in my brain now. I know these kinds of things are never easy, but they are possible in the near future.Regards,MingliOn Wed, Aug 7, 2013 at 4:14 PM, Markus Krötzsch <markus@semantic-mediawiki.org> wrote:
Hi Mingli,
thanks, this very interesting, but I think I need a bit more context to understand what you are doing and why.
Is your goal to create a library for accessing Wikidata from Clojure (like a Clojure API for Wikidata)? Or is your goal to use logical inference over Wikidata and you just use Clojure as a tool since it was most convenient?
To your question:
>
> * Do we have a long term plan to evolve wikidata towards a
> semantic-rich dataset?
>
There are no concrete designs for adding reasoning features to Wikidata so far (if this is what you mean). There are various open questions, especially related to inferencing over quantifiers. But there are also important technical questions, especially regarding performance. I intend to work the theory out in more detail soon (that is: "How should logical rules over the Wikidata data model look work in principle?"). The implementation then is the next step. I don't think that any of this will be part of the core features of Wikidata soon, but hopefully we can set up a useful external service for Wikidata search and analytics (e.g., to check for property constraint violations in real time instead of using custom code and bots).
Cheers,
Markus
On 05/08/13 17:30, Mingli Yuan wrote:
* Do we have a long term plan to evolve wikidata towards aHi, folks,
After one night quick work, I had gave a proof-of-concept to demonstrate
the feasibility that we can combine Wikidata and Clojure logic
programming together.
The source code is at here:
https://github.com/mountain/knowledge
An example of an entity:
https://github.com/mountain/knowledge/blob/master/src/entities/albert_einstein.clj
Example of types:
https://github.com/mountain/knowledge/blob/master/src/meta/types.clj
Example of predicates:
https://github.com/mountain/knowledge/blob/master/src/meta/properties.clj
Example of inference:
https://github.com/mountain/knowledge/blob/master/test/knowledge/test.clj
Also we found it is very easy to get another language versions of the
data other than English.
So, thanks very much for your guys' great work!
But I found the semantic layer of wikidata is shallow, that means you
can only knows who are Einstein's father and children, but it can not be
inferred automatically from wikidata that Einstein's father is the
grandfather of Einstein's children.
So my question is that:
semantic-rich dataset?
Regards,
Mingli
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